基于相位导数的GBSAR影像自适应滤波算法研究

发布时间：2018-05-18 05:28

本文选题：相位导数 + Lee　；参考：《测绘通报》2016年02期

【摘要】：GBSAR影像由于受到自身和周围环境的影响,在影像中易产生噪声,如不及时滤除噪声,将对后续的处理造成很大的影响,以往的滤波算法大部分是基于影像的幅度信息,没有将相位信息考虑在内,没达到真正滤波的效果。本文提出一种基于相位导数的算法对GBSAR影像进行滤波处理,并将结果与Lee函数滤波结果进行对比,结果表明基于相位导数的算法在GBSAR影像中具有良好的去噪效果,对GBSAR影像的后续处理提供了一种新的方法。
[Abstract]:Because GBSAR image is affected by itself and the surrounding environment, it is easy to produce noise in the image. If the noise is not filtered in time, it will have a great impact on the subsequent processing. Most of the previous filtering algorithms are based on the amplitude information of the image. The phase information is not taken into account and the real filtering effect is not achieved. This paper presents an algorithm based on phase derivative to filter GBSAR image, and compares the result with the result of Lee function filtering. The results show that the algorithm based on phase derivative has good denoising effect in GBSAR image. A new method is provided for the follow-up processing of GBSAR images.
【作者单位】：河海大学地球科学与工程学院;
【基金】：国家自然科学基金(41174002) 湖南省重点实验室开放研究基金(PHLHD201311)
【分类号】：P237

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